{"as_of":"2026-08-21T20:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5f2f2c0d0624613773cfd9a284efe312b25bb94cca1e4a317da5e1713189afff","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T11:50:26.030339Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T04:44:53.465808Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-04T13:59:52.141565Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"cited_work":{"arxiv_id":"2605.26029","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.26029","snapshot_observed_at":"2026-07-04T13:59:52.141565Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","venue":"cs.AI","work_id":"0c17a0f8-a51f-477b-8fe3-cb59376b9bcc","year":2026},"citing_paper":{"arxiv_id":"2606.26722","last_updated":"2026-06-25T08:01:07Z","snapshot_observed_at":"2026-08-13T13:29:27.542284Z","submitted_at":"2026-06-25T08:01:07Z","title":"Socratic agents for autonomous scientific discovery in high-dimensional physical systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-26T04:44:53.465808Z"},"links":{"cited_paper":"/paper/2605.26029","citing_paper":"/paper/2606.26722"},"observation_digest":"sha256:d3b208119123c2cdca010ad442ebf1c7523d02da73a549b8ec64f68f0fe12432","observation_id":"a8905378-d981-4d7a-9476-68576bfe63a6","resolution":{"observed_at":"2026-07-04T13:59:52.142893Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2605.26029/citation-record","integrity":"/paper/2605.26029/integrity","json":"/paper/2605.26029/citation-record.json","paper":"/paper/2605.26029"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/cbo9781139025751","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Imbens and D.B","venue":"Cambridge University Press eBooks","work_id":"52bad9ab-1b56-422e-bec9-0d5b46068199","year":2015},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:4293a5d580aad5230cbed966d320a5b2e84c366235ea1366cf1697d70d661032","observation_id":"602929ae-1ac7-4bfc-b196-5ad7e4b9c8b7","resolution":{"observed_at":"2026-06-29T21:53:58.766162Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02494","last_updated":"2015-11-18T12:13:03Z","snapshot_observed_at":"2026-08-14T22:45:23.428474Z","submitted_at":"2015-06-08T13:41:22Z","title":"backShift: Learning causal cyclic graphs from unknown shift interventions","version":3},"cited_work":{"arxiv_id":"1506.02494","doi":null,"metadata_source":"pith","pith_arxiv_id":"1506.02494","snapshot_observed_at":"2026-06-29T21:53:58.762821Z","title":"backShift: Learning causal cyclic graphs from unknown shift interventions","venue":"stat.ME","work_id":"4fb5b2bd-e3b9-4060-bb73-21d6d9109f3f","year":2015},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1506.02494","citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:2d68538be90919ced1a26b8b2718cc0daa9910123c7014c50ce4e1bd88b57155","observation_id":"86572813-6fee-456a-ab15-9566be76cbf1","resolution":{"observed_at":"2026-06-29T21:53:58.764387Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T21:50:23.838073Z","title":"- This helps you track patterns, relationships, and make informed decisions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:669eddd1cecd646728872d4e51bb39162144c3b716a4fb9176ed454dca2201fb","observation_id":"376667f7-f6de-4394-8263-d6bff3e59b39","resolution":{"observed_at":"2026-06-29T21:50:23.838073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T21:50:23.838073Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:62f7db3cd522f20e36d4c1f289247fab8040b14a96c7be1e5f2c7962a964f50c","observation_id":"8d9d46ab-5e1a-4bf2-828d-e46373fca8a7","resolution":{"observed_at":"2026-06-29T21:50:23.838073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T21:50:23.838073Z","title":"id\":\"0/N","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:243d9f53020e4fffc3e5100f21a9cc438088c2bd975270b1f20964298a1391ce","observation_id":"c41de2cb-e78b-4596-90b9-632f567a0884","resolution":{"observed_at":"2026-06-29T21:50:23.838073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T21:50:23.838073Z","title":"edges\":[{","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:ccfa2342e2b7c7018e0b335f8cd7dc45b938d31f60da535655c2eb50ff89d974","observation_id":"12d37831-2e85-42b2-8e45-939241af4aa3","resolution":{"observed_at":"2026-06-29T21:50:23.838073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T21:50:23.838073Z","title":"target_prop","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:b66f60478b4af855acafd73dd47754d30c0f278b814da0af35d9126115801b09","observation_id":"89990e7f-ef83-46e9-b83e-b25e123d3e5e","resolution":{"observed_at":"2026-06-29T21:50:23.838073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T21:50:23.838073Z","title":"action\":","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:f1b46826c30f4ef5eabcd579e4db05bcb733a3d3b20674c6668aeca84f3e6b04","observation_id":"d41da08e-a376-437b-a3ac-9cb8775361d1","resolution":{"observed_at":"2026-06-29T21:50:23.838073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T21:50:23.838073Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:b95bbf53fd44f7736dc742939200c5a9d7bd3ce6a8bc989324a7d3d28bffa3d3","observation_id":"381fb655-fe48-478d-9e75-32a1d4777f1d","resolution":{"observed_at":"2026-06-29T21:50:23.838073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T21:50:23.838073Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:33d246e8ee5f8e31695c6d3b4071449d74a19ecc25286d84dcb7a774c0c330ed","observation_id":"12df97e0-b53b-46d1-afb5-842f1e0ab3e1","resolution":{"observed_at":"2026-06-29T21:50:23.838073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T21:50:23.838073Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:13423857ee13867ad5a66c5421476f309539738f0403036599efd1f2d8d4f13f","observation_id":"a7ea5749-8042-40d5-a401-91b0900a7b57","resolution":{"observed_at":"2026-06-29T21:50:23.838073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T21:50:23.838073Z","title":"action\":","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-29T21:50:23.838073Z"},"links":{"citing_paper":"/paper/2605.26029"},"observation_digest":"sha256:1936c38e0b53898d2d531b28cd4cd209040dcc0c0c23f94c969002905739d371","observation_id":"511f671f-8018-42b3-a2e5-98edad35b045","resolution":{"observed_at":"2026-06-29T21:50:23.838073Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.26029","last_updated":"2026-05-28T01:38:42Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-20T17:39:11.477692Z","submitted_at":"2026-05-25T16:57:06Z","title":"CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":12},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2605.26029."}